Lecture 41 - Distillation Control
A distillation column is typically a highly coupled system that leads to multiple interacting controllers. Techniques from this class that are useful for designing the control system are:
- Empirical model fitting of a Multiple Input Multiple Output (MIMO) System
- Relative Gain Array (RGA) analysis to determine best pairing of Manipulated and Controlled Variables
- Simulate distillation column with PID Non-interacting controllers
- Simulate distillation column with PID Interacting Controllers with Feedforward information from other controllers
- Derivation of First Principles model
- Nonlinear Control (NLC)
- Lecture 41 Notes
The distillation column example uses both empirical and first principles approaches to address controller interaction. With the empirical approach, PID controller tuning is derived. With a first principles model, a nonlinear control can improve the disturbance rejection and set point tracking capabilities.
- Course reading for next class: Review course material
- Assignment due by the start of Lecture #42: Lab Project and SP16
For Special Problem 16, Python 2.7 is required to run the simulations. It is available for free download from the Python web-site. To run the simulations, double-click on the appropriate python script. A web-page will open to allow you to view the solution.
Relate each problem in the context of the overall course objectives.
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